Create handler.py

handler.py

@@ -0,0 +1,23 @@
+from typing import Dict, List, Any
+from PIL import Image
+from io import BytesIO
+from transformers import pipeline
+import base64
+
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        self.pipeline = pipeline("zero-shot-image-classification", model=path, device=0)
+    
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        inputs = data.pop("inputs", {})
+        parameters = data.pop("parameters", {})
+        candidate_labels = parameters.pop("candidate_labels", [])
+        print("data: ", data)
+
+        # decode base64 image to PIL
+        image = Image.open(BytesIO(base64.b64decode(inputs)))
+
+        # run prediction on the image with provided candidates
+        prediction = self.pipeline(images=[image], candidate_labels=candidate_labels)
+        return prediction[0]